Wavelet Based 2-D ECG Compression by Implementing of SPIHT Algorithm and RL Coding
A two dimensional (2-D) wavelet based electrocardiogram (ECG) data compression method is presented which employs a set partitioning in hierarchical trees (SPIHT) and Run Length (RL) coding. The proposed 2-D approach utilizes the fact that ECG signal generally show redundancy between adjacent beats and between adjacent samples. Meanwhile a set of wavelet functions for implementation in 2-D ECG array was examined. Eight different wavelets are evaluated for their ability to compress ECG. Results show that RL coding increases the compression ratio in the same error. Moreover Biorthogonal-6.8 is clearly the best performer in the statistical measure among the eight different evaluated wavelets.
Somayeh Nayebi Mohammad Hossein Miranbeigi Ali Motie Nasrabadi
Biomedical Eng.Dept.,Tarbiat Modares Univ.,Tehran, Iran Biomedical Eng.Dept, Shahed Univ., Tehran,Iran
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
1349-1353
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）